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51st international conference on Very Large Data Bases, VLDB 2025

作者： Bellomarini, Luigi Benedetto, Davide Brandetti, Matteo Sallinger, Emanuel Vlad, Adriano Banca d’Italia Italy Prometheux & Università Roma Tre Italy TU Wien Austria University of Oxford United Kingdom

Over the past years, there has been a growing demand for ontological reasoning systems based on languages of the Datalog+/- family, such as Vadalog, for their ability to effectively model a wide range of real-world problems with powerful features such as existential quantification. As the scale and complexity of data analysis tasks continue to grow, the ability to distribute the computational workload across multiple non-communicating processors has become vital for these systems to achieve scalable performance. The joint presence of existential quantification and recursion poses new challenges, currently unsolved by existing distributed systems, which only concentrate on Datalog and are therefore unsuitable for ontological reasoning. When working across multiple processors, generating all the facts to answer a specific reasoning query, avoiding duplication, and guaranteeing termination are non-trivial tasks as infinitely many new symbols and facts can be generated by existential quantification and recursion. In this paper, we address such challenges and introduce the first distributed framework in the Datalog+/- space. We propose the condition of homomorphic decomposability, which identifies sets of Datalog+/- rules with good distribution properties. We put homomorphic decomposability into action with a distributed reasoning algorithm for Warded Datalog+/-, the core of Vadalog. We implement Vadalog parallel, a distributed reasoner for Vadalog and provide experimental evaluation against state-of-the-art systems. © 2024, VLDB Endowment. All rights reserved.

关键词： Ontology

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Balancing Intra-Die and Inter-Die Placement Optimization in 2.5D FPGA Architectures

Balancing Intra-Die and Inter-Die Placement Optimization in ...

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1st international conference on Smart Energy systems and Artificial Intelligence (SESAI)

作者： Raikar, Raveena Stroobandt, Dirk Univ Ghent Ghent Belgium

ISBN: (纸本)9798350364613;9798350364606

Interposer-based 2.5D FPGAs contain multiple dies interconnected through external wires, which introduce higher delay and longer wirelength compared to the interconnection network of a single die. Efficient CAD tools are needed for such architectures to strategically manage signal counts at the die boundary. In this study, we introduce a modular approach for parallel die-level placement, eliminating the need for a time-consuming global placement optimization step. Our methodology uses netlist partitioning and adds virtual anchor blocks to enable parallel die placement and facilitate inter-partition net optimization. Our method results in a multi-die placement tool 'LiquidMD'. Comparing our base multi-die placer with a state-of-the-art tool that fully globally optimizes placement shows substantial runtime improvement with improved placement quality. We also introduce a synchronization strategy for optimizing interpartition nets and assess how minimal synchronization benefits modular parallel placement. Our research results in a modular placement algorithm that strikes a favourable balance between runtime efficiency and placement quality.

关键词： 2.5D architectures Multi-die FPGA placement parallel placement Silicon Interposer

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Acceleration of BAM I/O on distributed file systems

Acceleration of BAM I/O on distributed file systems

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2023 IEEE international conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Ito, Satoshi Miyano, Satoru Ono, Kenji Tokyo Medical and Dental University Dept. of Integrated Analysis M&d Data Science Center Tokyo Japan Kyushu University Section of Applied Data Science Res. Inst. for Information Technology Fukuoka Japan

ISBN: (纸本)9798350337488

Rapid advances in high-throughput sequencers have made it possible to obtain large amounts of whole genome data quickly and inexpensively. As the amount of data increases, the increase in computation time has become a serious problem. One of the main causes of this problem is file I/O performance. Most pipelines do not implement file I/O suitable for distributed file systems, which are common storage systems in parallel computers used for large-scale analysis. In this study, we developed an I/O system adapted to distributed file systems. In the proposed system, storage access frequency was suppressed by I/O buffers, and thread parallelization by OpenMP was employed. We tested the developed system and a high parallel speedup was achieved. Availability: The developed system is freely available from https://***/SatoshiITO/GAPS © 2023 IEEE.

关键词： distributed File System High performance computing Whole genome sequencing analysis

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Fault current limitation control of multiple distributed renewable generations under unbalanced conditions

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ENERGY REPORTS 2023年 9卷 221-229页

作者： Fang, Hongwei Li, Ziyan Zhang, Xuanjie Xiong, Junjie Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China State Grid Jiangxi Elect Power Co Ltd Elect Power Res Inst Nanchang 330096 Jiangxi Peoples R China

For multiple distributed generation units (DG unit) parallel system, excessive fault current has adverse effects on the safe and stable operation of the utility grid. As a result, a fault current limitation control of multiple DG units is developed in this paper to limit the fault current of related fault branch and ride through the associated fault conditions. The injection fault current amplitude and phase angle of each DG unit for grid-side converter are controlled through the point of common coupling (PCC) voltage support and fault current limitation to limit the total current amplitude at the corresponding fault location. The validity of the proposed control strategy has been verified by simulation and hardware-in-loop (HIL) experiment results. (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Fault ride-through (FRT) Fault current limitation distributed renewable generation Voltage support

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Utilizing Blockchain Technology for Financial Services in parallel, distributed, and Grid Computing Frameworks

Utilizing Blockchain Technology for Financial Services in Pa...

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2024 international conference on Computing and Intelligent Reality Technologies, ICCIRT 2024

作者： Chokkamreddy, Prakash Palagati, Anusha Rao, Akurathi Lakshmi Pathi Maheswari, P. Mahadevan, Vanitha Balan, Santhosh Kumar School of Management Studies Guru Nanak Institutions Technical Campus Ibrahimpatnam Hyderabad India Dept. of Computer Science and Engineering Guru Nanak Institute of Technology Ibrahimpatnam Hyderabad India Department of Computer Applications KSR College of Arts and Science for Women Tiruchengode India College of Engineering and Technology University of Technology and Applied Sciences Al Mussanah Oman

ISBN: (纸本)9798331510299

Application of blockchain in financial services has opened new ways of efficiency in transaction processing, assets management and security. The application of parallel, distributed, and grid computing with blockchain in improving the functionality of financial services like real time financial transactions, high frequency trading, portfolio and risk analysis is examined in this paper. It has been ascertained that namely parallel and distributed computing together with blockchain are the most suitable for facing increasing needs in data in the sphere of financial services. It also investigates the use of grid computing frameworks and their effects on the correspondingly balanced flows of medium amongst multiple systems. Various issues such as security, privacy violations, and adherence to the law are also reviewed, and existing prospects for developing through smart contracts and consensus mechanisms using blockchain. Exploring how some of the most successful pilot use-cases of blockchain are applicable for future growth in the financial services industry offers insights into how blockchain will soon enter mainstream as a disruptive technology in the broader global financial sector. © 2024 IEEE.

关键词： Smart contract

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Series-parallel DC-DC Converter for Power Supply System Using Renewable Energy as distributed Power Sources 11

Series-Parallel DC-DC Converter for Power Supply System Usin...

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11th international conference on Smart Grid (IcSmartGrid)

作者： Furukawa, Yudai Kajiwara, Kazuhiro Shibahara, Daiki Matsui, Nobumasa Tezuka, Sho Ohta, Yuji Kurokawa, Fujio Nagasaki Inst Appl Sci Inst Innovat Sci & Technol Nagasaki Japan Nagasaki Inst Appl Sci Grad Sch Engn Nagasaki Japan Isahaya Elect Corp Nagasaki Japan

The purpose of this paper is to discuss about a configuration of power supply systems, with can provide power from renewable energy sources to a load effectively. A series-parallel power supply is proposed as a highly... 详细信息

ISBN: (纸本)9798350310665

关键词： renewable energy distributed power supply ac power supply system dc power supply system series-parallel power supply

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Dynamic Checkpointing: Fault Tolerance in High-Performance Computing 3

Dynamic Checkpointing: Fault Tolerance in High-Performance C...

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3rd international conference on Communication, Control, and Intelligent systems, CCIS 2024

作者： Bhowmik, Biswajit Verma, Tushar Dineshbhai, Navdeep Dadhania Reddy, Manideep Raya Vsrs Girish, K.K. National Institute of Technology Karnataka Maharshi Sushrut Cas Lab Brics Laboratory Dept. of Computer Science and Engineering Mangalore India National Institute of Technology Karnataka Maharshi Kanad Qc Lab Brics Laboratory Dept. of Computer Science and Engineering Mangalore India National Institute of Technology Karnataka Ishwarchandra Vidyasagar Ait Lab Brics Laboratory Dept. of Computer Science and Engineering Mangalore India

ISBN: (纸本)9798331528201

parallel computing has become a cornerstone of modern computational systems, enabling the rapid processing of complex tasks by utilizing multiple processors simultaneously. However, the efficiency and reliability of these systems can be significantly compromised by inherent challenges such as hardware failures, communication delays, and uneven workload distribution. These issues not only slow down computations but also threaten the dependability of applications reliant on parallel processing. To address these challenges, researchers have developed strategies like dynamic checkpointing and load balancing, which are crucial for enhancing fault tolerance and optimizing performance. Dynamic checkpointing periodically saves the computational state, allowing for recovery from failures without significant data loss, while load balancing ensures that tasks are evenly distributed across processors, preventing bottlenecks and underutilization of resources. By integrating these mechanisms, this paper proposes a robust framework that improves the reliability and efficiency of parallel systems, particularly in high-performance computing environments where the ability to handle large-scale data processing with minimal downtime is critical. © 2024 IEEE.

关键词： parallel processing systems

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Optimal Factored LT codes for distributed Matrix Multiplication 29

Optimal Factored LT codes for Distributed Matrix Multiplicat...

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29th IEEE international conference on parallel and distributed systems, ICPADS 2023

作者： Zhang, Lei Liu, Jie Capital Normal University Information Engineering College Beijing China

ISBN: (纸本)9798350330717

Due to the presence of slow or failed worker computers (called stragglers), distributed matrix multiplication over large clusters may encounter delays. To tackle this issue, Factored Luby Transform (FLT) codes have been proposed for edge computing scenarios involving distributed matrix multiplication of the form C = A ∗ B. However, the decoding time of FLT codes becomes a bottleneck in coded distributed matrix multiplication, primarily due to the high computational complexity associated with peeling decoding. To overcome this limitation, this paper introduces the modified generalized degree distribution algorithm (MGDDA) for designing an optimal degree distribution in FLT codes with BP decoding. The MGDDA algorithm minimizes overhead and maximizes performance efficiency in coded distributed matrix multiplication scenarios. Additionally, we propose an optimal encoding algorithm that achieves a balanced probability of connecting input symbols from matrices A and B to encoded symbols. This algorithm further enhances the performance of FLT codes. Simulation results consistently demonstrate that our proposed Optimal FLT (OFTL) method outperforms other existing approaches in terms of average overhead, block error rate (BER) and computational delay. © 2023 IEEE.

关键词： Coded Computation Degree Distribution LT codes Matrix Multiplication

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distributed Training of Large Language Models 29

Distributed Training of Large Language Models

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29th IEEE international conference on parallel and distributed systems, ICPADS 2023

作者： Zeng, Fanlong Gan, Wensheng Wang, Yongheng Yu, Philip S. Jinan University Zhuhai519070 China Pazhou Lab Guangzhou510330 China University of Illinois Chicago Chicago United States

ISBN: (纸本)9798350330717

The advent of large language models (LLMs), like ChatGPT ushers in revolutionary opportunities that bring a vast variety of applications (such as healthcare, law, and education) across various disciplines. The research report pointed out that the model showcases excellent performance often closely related to the parameter scale of the model, so how to train an LLM? This is a question that everyone is more concerned about. At present, there are several commonly used distributed training frameworks including Megatron-LM, DeepSpeed, etc. In this paper, we first provide a brief introduction, which refers to the current development status of LLM. Second, we start from the status, introducing the current common parallel strategies of LLM distributed training. Next, we briefly introduce the underlying technologies and frameworks that LLM relies on nowadays, describing the current popular ones and types of large models. Then we introduce the optimization techniques used in the LLMs. Finally, we summarize the problems and challenges encountered in the current LLM training and describe the possible future development direction of LLM. © 2023 IEEE.

关键词： Big data data parallelism distributed training large language models pipeline parallelism

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HM2: Efficient Host Memory Management for RDMA-Enabled distributed systems 23

HM2: Efficient Host Memory Management for RDMA-Enabled Distr...

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32nd international Symposium on High-Performance parallel and distributed Computing (HPDC) part of the ACM Federated Computing Research conference (FCRC)

作者： Tang, Chen Chu, Zhaole Jin, Peiquan Luo, Yongping Guo, Kuankuan Univ Sci Technol China Hefei Peoples R China ByteDance Inc Beijing Peoples R China

ISBN: (纸本)9798400701559

Remote direct memory access (RDMA) supports zero-copy networking by transferring data from clients directly to host memory, eliminating the need to copy data between clients' memory and the data buffers in the hosting server. However, the hosting server must design efficient memory management schemes to handle incoming clients' data. In this paper, we propose a high-performance host memory management scheme called HM2 for RDMA-enabled distributed systems. We present a new buffer structure for incoming data from clients. In addition, we propose efficient data processing methods to reduce network transfers between clients and servers. We conducted a preliminary experiment to evaluate HM2, and the results showed HM2 achieved higher throughput than existing schemes, including L5 and FaRM.

关键词： RDMA memory management data buffer

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